Data Lake Formation (DLF) is a unified, fully managed platform for data and metadata management, and storage . It also provides access control, storage analysis, and optimization. DLF integrates with Alibaba Cloud big data engines to help you build and manage cloud-native data lakes and OpenLake solutions. By unifying metadata, lake table formats, and storage, DLF simplifies data lake operations so you can focus on business innovation and data insights.
Product overview
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Product series |
Description |
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DLF (Recommended) |
Uses fully managed Paimon catalogs for metadata management, access control, and storage optimization. |
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A fully managed metadata service highly compatible with open-source projects. Supports metadata management, access control, and data storage dashboards. |
Selection recommendations
We recommend that you use DLF for new applications.
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Product series |
Scenarios |
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DLF (Recommended) |
Built on Apache Paimon for managing data and metadata. Supports multiple storage optimization strategies, ensures data security, and streamlines data lake management. Ideal for lakehouse use cases. |
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Intended for existing DLF-Legacy users only. |